Evidence map›Paper›PMID 38444705›Full record

ArticleIranian journal of pharmaceutical research : IJPR

Screening and Identification of DNA Nanostructure Aptamer Using the SELEX Method for ‎Detection of Epsilon Toxin.

Nafiseh Shafiei, Hamideh Mahmoodzadeh Hosseini, Jafar Amani, Seyed Ali Mirhosseini, Hanieh Jafary

Open access · hybridAbstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 81% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 0 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Nafiseh ShafieiDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Hamideh Mahmoodzadeh HosseiniApplied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-3987-0164
Jafar AmaniApplied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-5155-4738
Seyed Ali MirhosseiniApplied Microbiology Research Center, Systems Biology and Poisonings Institute, Baqiyatallah University of Medical Sciences, Tehran, Iran.
Hanieh JafaryDepartment of Biology, Science and Research Branch, Islamic Azad University, Tehran, Iran.
Baqiyatallah University of Medical Sciences · IRIslamic Azad University, Science and Research Branch · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Epsilon toxin (ETX), produced by Objectives: This study aimed to isolate high-affinity single-stranded DNA (ssDNA) aptamers against ETX. Methods: This study identified aptamers using the Systematic Evolution of Ligands by Exponential Enrichment (SELEX) method, enzyme-linked apta-sorbent assay (ELASA), and surface plasmon resonance (SPR) to determine the affinity and specificity of the newly obtained aptamers targeting ETX. Results: Several aptamers obtained through the SELEX process were studied. Among them, 2 aptamers, ETX clone 3 (ETX3; dissociation constant (Kd = 8.4 ± 2.4E-9M) and ETX11 (Kd = 6.3 ± 1.3E-9M) had favorable specificity for ETX. The limits of detection were 0.21 and 0.08 μg/mL for ETX3 and ETX11, respectively.‎. Conclusions: The discovered aptamers can be used in various aptamer-based rapid diagnostic tests for the detection of ETX.

Indexed as

Clostridium perfringensDNA AptamerELASAEpsilon ToxinSELEXSPR

Identifiers

PMID38444705
PMCPMC10912870
OpenAlexW4389472983

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.